Ripik.ai has been associated with IMFA since Jan 2023 towards implementation of Industry 4.0 in our Choudwar plant located in Odisha. They are working on two machine learning / data science use related to power and metallurgical coke consumption optimization through real-time alerts. The team has good knowledge in the areas of data science & machine learning, and their problem solving skill set is high
I have known Pinak, Arunabh and Navneet since 2017. They were part of Advanced analytics program in TSK between 2017 and 2020 and placed a crucial role in its delivery. The team worked end to end in conceptualization and delivery of the use cases across Blast Furnace, Sinter Plant and Steel Melt Shop.
Ripik.ai has been the analytics partner of Godrej & Boyce since March 2022. They have been doing projects with the Interio and Aerospace businesses already and we are exploring use cases for other businesses as well. Pinak and his team have worked with us closely on these manufacturing use cases. They have an unparalleled understanding of the process and can bring impact very quickly
Choose Ripik.AI for innovative Computer Vision AI Solution that drive operational excellence in manufacturing industries.
Join Ripik.AI where learning is more impactful, diversity inspires, and work-life harmony thrives.
Explore the latest breakthroughs, partnerships, and global recognitions shaping Ripik.AI's impact on industrial AI
Discover Ripik AI's latest event appearances showcasing cutting-edge AI solutions for manufacturing.
Achieved 70% Reduction in downtime of conveyor failures with Ripik AI conveyor belt monitoring system. This ensured smoother operations, minimized downtime, and delivered significant cost savings.
Manual inspections frequently overlooked early signs of refractory damage, resulting in unplanned downtime. By contrast, AI-driven monitoring enables timely detection of wear, cutting downtime by 50% and enhancing operational reliability.
Reducing inconsistencies in calorific values through AFR monitoring optimizes combustion efficiency, minimizes equipment damage, and lowers energy consumption.
Achieved an 82% reduction in crusher blockages and a 20% decrease in unwanted stoppages in cement crusher operations by detecting oversized rocks in real time. This led to smoother operations, reduced downtime, and substantial cost savings.
Tackle raw material variability and environmental challenges with accurate, real-time visibility.
Transforming Cement Manufacturing Operations with Our Patented Vision AI SaaS Platform for Process Optimization
Empower operators to precisely control bath temperature and significantly reduce power usage and AIF3 consumption.
Solve high impact use cases and maximize quality by identifying important parameters and sweet spot of operations.
Revolutionizing boiler operations with patented Computer Vision for higher productivity and lower energy costs.
Unlock efficiency and optimize processes across industries with our advanced, and intelligent AI technologies.
Real-time camera intelligence to monitor materials, equipment, and processes, driving efficiency and consistency in industrial operations.
Hosts and manages hundreds of Vision AI Agents, enabling you to customize, deploy, and scale real-time monitoring solutions instantly across operations.
Let us walk you through a tailored demo experience.
Tackle raw material variability and environmental challenges with accurate, real-time visibility.
Transforming Cement Manufacturing Operations with Our Patented Vision AI SaaS Platform for Process Optimization
Empower operators to precisely control bath temperature and significantly reduce power usage and AIF3 consumption.
Solve high impact use cases and maximize quality by identifying important parameters and sweet spot of operations.
Revolutionizing boiler operations with patented Computer Vision for higher productivity and lower energy costs.
Unlock efficiency and optimize processes across industries with our advanced, and intelligent AI technologies.
Ripik.ai has been associated with IMFA since Jan 2023 towards implementation of Industry 4.0 in our Choudwar plant located in Odisha. They are working on two machine learning / data science use related to power and metallurgical coke consumption optimization through real-time alerts. The team has good knowledge in the areas of data science & machine learning, and their problem solving skill set is high
I have known Pinak, Arunabh and Navneet since 2017. They were part of Advanced analytics program in TSK between 2017 and 2020 and placed a crucial role in its delivery. The team worked end to end in conceptualization and delivery of the use cases across Blast Furnace, Sinter Plant and Steel Melt Shop.
Ripik.ai has been the analytics partner of Godrej & Boyce since March 2022. They have been doing projects with the Interio and Aerospace businesses already and we are exploring use cases for other businesses as well. Pinak and his team have worked with us closely on these manufacturing use cases. They have an unparalleled understanding of the process and can bring impact very quickly
Choose Ripik.AI for innovative Computer Vision AI Solution that drive operational excellence in manufacturing industries.
Join Ripik.AI where learning is more impactful, diversity inspires, and work-life harmony thrives.
Explore the latest breakthroughs, partnerships, and global recognitions shaping Ripik.AI's impact on industrial AI
Discover Ripik AI's latest event appearances showcasing cutting-edge AI solutions for manufacturing.
Achieved 70% Reduction in downtime of conveyor failures with Ripik AI conveyor belt monitoring system. This ensured smoother operations, minimized downtime, and delivered significant cost savings.
Manual inspections frequently overlooked early signs of refractory damage, resulting in unplanned downtime. By contrast, AI-driven monitoring enables timely detection of wear, cutting downtime by 50% and enhancing operational reliability.
Reducing inconsistencies in calorific values through AFR monitoring optimizes combustion efficiency, minimizes equipment damage, and lowers energy consumption.
Achieved an 82% reduction in crusher blockages and a 20% decrease in unwanted stoppages in cement crusher operations by detecting oversized rocks in real time. This led to smoother operations, reduced downtime, and substantial cost savings.
Real-time camera intelligence to monitor materials, equipment, and processes, driving efficiency and consistency in industrial operations.
Hosts and manages hundreds of Vision AI Agents, enabling you to customize, deploy, and scale real-time monitoring solutions instantly across operations.
Let us walk you through a tailored demo experience.
Achieved 70% Reduction in downtime of conveyor failures with Ripik AI conveyor belt monitoring system. This ensured smoother operations, minimized downtime, and delivered significant cost savings.
Existing conveyor monitoring systems were inadequate, relying heavily on manual inspection, which was time-consuming, inconsistent, and unable to cover the entire belt effectively. Maintenance practices depended on constant human observation, often lacking attentiveness and leading to a reactive approach. This resulted in unexpected breakdowns and increased downtime.
Bricks, metallic waste, and other debris cause severe damage to conveyors, chutes, and screens
Loose materials like bricks, scrap metal, and other debris often enter the material stream, causing repeated impact and abrasion on conveyors, chutes, and screens. This accelerates wear, increases the risk of equipment failure, and leads to frequent maintenance and unplanned downtime.
Gradual deterioration, such as scratches and cracks in belts, often goes unnoticed until failure occurs
Gradual issues like scratches, cracks, and surface wear on conveyor belts often go unnoticed during routine checks, eventually leading to unexpected conveyor breakdowns and costly downtime.
Conveyor sway leads to uneven wear, material spillage, and increased risk of breakdowns
Conveyor sway, often caused by misalignment, uneven loading, or worn-out rollers, leads to uneven belt wear, material spillage, and a higher risk of failures. If not corrected, it results in premature damage, safety risks, and costly downtime.
Misalignment and prolonged non-opening of pipe conveyors can lead to unexpected shutdowns
Misalignment and prolonged non-opening of pipe conveyors disrupt material flow, leading to blockages, increased wear, and unexpected plant shutdowns.
$300K+
Expected annual value generation
Over $300K in expected annual value generation was achieved by transitioning from manual inspection and verbal reporting to automated detection powered by real-time monitoring—enhancing accuracy, speed, and operational efficiency.
100+
Potential foreign object failures prevented in first 3 months
Over 100 potential foreign object failures were prevented in the first 3 months by shifting from delayed anomaly responses to instant notifications and proactive alerts.
70%
Reduction in downtime due to conveyor failures
Downtime from conveyor failures was reduced by 70% by shifting from reactive maintenance to predictive analytics, enabling proactive maintenance that automatically stops operations upon detecting foreign particles, preventing further damage.
See how leading companies across steel, cement, oil & gas, energy, automotive, chemicals, pharmaceuticals, FMCG, and other industries are transforming their operations with Ripik AI’s Vision AI solutions—driving real-time insights, enhanced safety, and intelligent process optimizations across the industrial landscape
Achieved 70% Reduction in downtime of conveyor failures with Ripik AI conveyor belt monitoring system....
Manual inspections frequently overlooked early signs of refractory damage, resulting in unplanned downtime....
Reducing inconsistencies in calorific values through AFR monitoring optimizes combustion efficiency,...
Achieved an 82% reduction in crusher blockages and a 20% decrease in unwanted stoppages in cement crusher...
The Flare Stack Monitoring System delivered over 90% measurement accuracy, replacing manual judgment...
Ripik AI's Ladle Activity Tracker enhanced ladle operations in steel plants with comprehensive real-time...
Ripik AI's material sizing solution achieved 95% accuracy, significantly enhancing raw material monitoring...
Ripik AI's Volumetric Estimation using LIDAR has transformed stockpile management, achieving over 95%...
In the world of cost-competitive steel market, our client managed to improve fuel rate and throughput...
See how Ripik.AI's real-time asset monitoring solution transformed a leading EPC company's operation...
